arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2102.01244cs.DBcs.SE
收藏

新的招聘人员和工作:LinkedIn最大的企业数据迁移

New Recruiter and Jobs: The Largest Enterprise Data Migration at LinkedIn

Xie Lu, Xiaoguang Wang, Xiaoyang Gu

摘要:

2019年8月,我们向会员和客户介绍了将LinkedIn的两个核心人才产品-- Jobs和Recruiter --转移到一个平台上的想法,以帮助人才专业人士提高工作效率。这个平台叫做New Recruiter & Jobs。这项工作的一个关键和困难部分是将现有数据从旧数据库迁移到新数据库,并确保没有数据差异和没有停机时间。在本文中,我们将讨论成功的数据迁移的一般架构以及我们遵循的思维过程。然后,我们将这些想法扩展到我们的情况,并更详细地解释我们的具体挑战和解决方案。在“爬坡过程”部分,我们解释了满足成功标准的内在困难,并描述了我们如何克服这些困难并实际满足成功标准。

英文摘要:

In August 2019, we introduced to our members and customers the idea of moving LinkedIn's two core talent products -- Jobs and Recruiter -- onto a single platform to help talent professionals be even more productive. This single platform is called the New Recruiter & Jobs. A critical and difficult part of this effort is migrating their existing data from the legacy database to the new database and ensure there is no data discrepancy and no down time. In this article, we will discuss the general architecture for a successful data migration and the thought process we followed. Then we expand these ideas to our circumstances and explain in more detail about our specific challenges and solutions. In the Ramp Process section, we explain the inherent difficulties in satisfying our success criteria and describe how we overcome these difficulties and fulfill the success criteria practically.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑